Yield & Process Innovation Engineer

Samsung Electronics Perú; Taylor (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, and vision

Life insurance & 401(k) matching

Onsite café and gym facilities

PTO + holidays

Wellness incentives

Performance bonuses

Job summary

Samsung Austin Semiconductor is seeking a highly analytical PCI Engineer to monitor wafer yield, perform data-driven investigations, and drive process improvements on an advanced semiconductor manufacturing line.

You will work with Process, Equipment, and Integration engineers to reduce defects, optimize SPC charts, and enable robust CAPAs through data-driven insights and automated analysis.

Qualifications

• B.E./M.S. in Electrical Engineering, Materials Science, Physics, Applied Physics, or related field.
• Understanding of semiconductor device physics and CMOS fabrication processes.

Responsibilities

• Monitor wafer manufacturing processes and yield trends to identify out-of-control or out-of-spec conditions across the fabrication line.
• Monitor ET data to ensure process stability and line health.
• Design scalable data pipelines to extract, clean, and structure ET data and develop automation apps.
• Develop and deploy Machine Learning models to scan electrical test datasets for anomalies and drift.
• Collaborate with Process and Equipment engineers to implement CAPAs for process variations.
• Develop and optimize SPC charts, control limits, and sampling plans for sensitive nodes.
• Summarize data into actionable reports and present yield and defectivity metrics to drive improvements.

Skills

SPC

Data analysis

Machine Learning

Process monitoring

Cross-functional collaboration

Technical writing

Communication skills

Education

B.E./M.S. in Electrical Engineering

Tools

Statistical software (R/Python)

SPC software

Job description

Samsung Austin Semiconductor is seeking a highly analytical PCI Engineer to monitor wafer yield, perform data-driven investigations, and drive process improvements on an advanced semiconductor manufacturing line.

You will work with Process, Equipment, and Integration engineers to reduce defects, optimize SPC charts, and enable robust CAPAs through data-driven insights and automated analysis.